Paper Info
Title
Isolating - a new resampling method for gene order data
Abstract
The purpose of using resampling methods on phylogenetic data is to estimate the confidence value of branches. In recent years, bootstrapping and jackknifing are the two most popular resampling schemes which are widely used in biological research. However, for gene order data, traditional bootstrap procedures can not be applied because gene order data is viewed as one character with various states. Experience in the biological community has shown that jackknifing is a useful means of determining the confidence value of a gene order phylogeny. When genomes are distant, however, applying jackknifing tends to give low confidence values to many valid branches, causing them to be mistakenly removed. In this paper, we propose a new method that overcomes this disadvantage of jackknifing and achieves better accuracy and confidence values for gene order data. Compared to jackknifing, our experimental results show that the proposed method can produce phylogenies with lower error rates and much stronger support for good branches. We also establish a theoretic lower bound regarding how many genes should be isolated, which is confirmed empirically.
Year
DOI
Venue
2011
10.1109/CIBCB.2011.5948464
CIBCB
Keywords
Field
DocType
evolution (biological),isolating method,genomes,gene order phylogeny,genetics,genomics,biological reserach,jackknifing,gene order data resampling method,sampling methods,bootstrapping,radio frequency,error rate,history,phylogeny,lower bound,accuracy
Low Confidence,Upper and lower bounds,Computer science,Bootstrapping,Sampling (statistics),Bioinformatics,Jackknifing,Statistics,Resampling,Bootstrapping (electronics)
Conference
ISBN
Citations 
PageRank 
978-1-4244-9896-3
1
0.38
References 
Authors
6
4
Name
Order
Citations
PageRank
Jian Shi112.07
William Arndt290.99
Fei Hu367552.36
Jijun Tang437048.23